The purpose of this study is to establish a new monitoring technique to quantitatively detect the states of the sliding and connecting portions, where it could be found that failures often occur. We proposed a monitoring method wherein a mathematical model and actual measurement data for the moving parts of the reciprocating compressor were used to construct a system that (i) monitors the state while the reciprocating compressor operates and (ii) predicts and diagnoses signs of damage. This paper reports on a case study involving experimental data acquired before and after failures occurred in the connecting parts of the connecting rod. The purpose is to assess how the parameter values differed between the two operating states. To equate (i) each natural frequency calculated from eigenvalue analysis based on the proposed model with (ii) each resonant frequency during operation corresponding to the natural frequency of bending, we define an error function for the identified problem, namely, the optimum problem. In this paper, it is assumed that the crosshead pin that attaches the connecting rod to the crosshead wears out, and the dimensions of the crosshead pin are processed. In the observational results, it was found that some parameter values had large differences, and the corresponding state change could occur around the crosshead. We demonstrated the possibility of detecting both types of changes in the parameter values and the deterioration in the parts for two different operating states by the proposed method.

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